02188nam0 2200433 i 450 SUN011440820201009094331.5480.00N978-3-319-28316-620180202d2016 |0engc50 baengCH|||| |||||An *introduction to statistics with Pythonwith applications in the life sciencesThomas Haslwanter[Cham] : Springer, 2016XVII278 p.ill. ; 24 cmPubblicazione in formato elettronico001SUN00365262001 Statistics and computing210 New YorkSpringer.92-XXBiology and other natural sciences [MSC 2020]MFSUNC02083962-XXStatistics [MSC 2020]MFSUNC02299862F15Bayesian inference [MSC 2020]MFSUNC02452862F03Parametric hypothesis testing [MSC 2020]MFSUNC02458262P10Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]MFSUNC02464992B15General Biostatistics [MSC 2020]MFSUNC02644262R07Statistical aspects of big data and data science [MSC 2020]MFSUNC02651462H15Hypothesis testing in multivariate analysis [MSC 2020]MFSUNC03096462F40Bootstrap, jackknife and other resampling methods [MSC 2020]MFSUNC03109862N02Estimation in survival analysis and censored data [MSC 2020]MFSUNC03369262N03Testing in survival analysis and censored data [MSC 2020]MFSUNC03386068T09Computational aspects of data analysis and big data [MSC 2020]MFSUNC035916CHChamSUNL001889Haslwanter, ThomasSUNV088504755822SpringerSUNV000178650ITSOL20201026RICAhttp://dx.doi.org/10.1007/978-3-319-28316-6SUN0114408BIBLIOTECA CENTRO DI SERVIZIO SBA15CONS SBA EBOOK 2103 15EB 2103 20180202 Introduction to statistics with Python1523137UNICAMPANIA